Senior Engineer - Site Reliability
AI in this role
About the Company:
AIQ is an Abu Dhabi-based technology company that develops and deploys industrial artificial intelligence (AI) technologies at scale, focused on the energy sector. As a venture between Presight (G42) and ADNOC, AIQ has productized 15 AI-enabled solutions that support clients to perform better, protect teams and equipment, keep operations sustainable, and rapidly scale successes. The organization embraces an innovative and entrepreneurial spirit, looking to push boundaries and solve transformational challenges across industry. It welcomes professionals that share the desire to make meaningful and impactful contributions to the mission to deliver responsible AI to the heart of industrial processes. Always on the forefront of technology, AIQ provides its talent with an environment to thrive and excel. Working at AIQ includes participating in some of the most significant industrial transformation projects, interacting with massive data pools, utilizing sophisticated AI infrastructure that is powered by a NVIDIA GPU cloud computing platform, and access to abundant computing, storage, and network resources made available from across the G42 ecosystem.
Overview:
Job Title: Senior Engineer - Site Reliability
Job Location: Abu Dhabi, UAE
About AIQ
AIQ is a joint venture company in the United Arab Emirates, majority-owned by Presight (an ADX-listed G42 company) alongside ADNOC and G42, which focuses on developing artificial intelligence technologies. AIQ develops and commercializes AI products and applications for the oil and gas industry. It aims in providing end-to-end solutions by using its data, cloud and talents to develop AI solutions that seek to reduce costs and generate revenue for its clients.
AIQ embodies an innovative and entrepreneurial spirit that embraces challenges to push boundaries and seeks to welcome professionals to its team that share the desire to make meaningful and impactful contributions to its mission. Always on the cutting edge of technology, AIQ provides its talent all the opportunities to thrive and excel. Working at AIQ includes dealing with massive data sets, an AI infrastructure that is powered by the latest NVIDIA GPU cloud computing platform and access to limitless computing, storage and network resources.
Responsibilities:
Key Responsibilities
As a Senior SRE, you will enhance the reliability and performance of our platforms. You will lead key reliability projects, improve observability, and respond to complex production incidents.
Key Responsibilities:
- Maintain and evolve monitoring, alerting, and incident response systems.
- Proactively find and fix performance bottlenecks and failure points.
- Contribute to infrastructure automation and deployment pipelines.
- Drive SLO/SLI adoption in collaboration with engineering teams.
- Lead root cause analysis and build preventive solutions.
- Mentor junior engineers and help scale operational excellence.
- Analyze service performance, identify bottlenecks, and provide measurable improvement plans.
- Maintain the environment’s health by continuously monitoring technical and business metrics, configuring alerts for potential issues, and proactively addressing risks to prevent disruption.
- Deploy application updates with minimal disruption to services
- Identify, evaluate, and conduct proof-of-concepts for new technologies.
- Contribute to the knowledge base.
- Review and modify CI/CD principles and service maturity iteratively, striving for continuous improvement
- Comply with QHSE (Quality Health Safety and Environment), Business Continuity, Information Security, Privacy, Risk, Compliance Management, and Governance of Organizations policies, procedures, plans, and related risk assessments.
Qualifications:
Requirements:
Qualifications:
- Bachelor’s Degree in Business Analytics, Data Science, Computer Science, Engineering, or a related field.
- Master's Degree is preferred.
Experience:
- +5 years in a SRE/DevOps/Sysadmin/Platform Engineer role
- +5 years of experience in managing Kubernetes clusters.
- +5 years of experience in configuring and using monitoring/observability platforms
- Familiarity with at least one type of database
Skills
- Solid experience with containerized environments (Docker, Kubernetes).
- Hands-on with CI/CD pipelines and automation tools.
- Proficiency in scripting languages (Python, Bash).
- Strong grasp of observability tools (Prometheus, Grafana, ELK, Sentry).
- Good knowledge of cloud platforms (Huawei Cloud, Azure preferred)
Mandatory skills:
- Strong background in Linux/Unix Administration
- Solid hands-on experience deploying and operating Kubernetes or Openshift clusters
- Experience configuring and maintaining monitoring and observability solutions
- Ability to troubleshoot and resolve complex production issues efficiently, including performing root
- cause analysis and restoring services quickly during high-pressure incidents or critical outages
- Experience in backing up and restoring various systems
- Working together with project managers and solution architects while serving as subject matter
- Experts
- Implementing basic network security (e.g. configuring VPCs, firewalls/security groups, etc.)
- Understand the dependencies of various GPU cards, and upgrade container images as needed in
- order to ensure compatibility
- Deploy and operate products provided by third party providers
- Creating releases together with the development team and deploying release packages to all required environments
Bonus Skills:
- Good understanding of typical system architecture and interaction between its components
- Experience automating tasks using infrastructure-as-code tools, e.g. Ansible, Terraform
- Thorough understanding of a company's systems, including auxiliary components like caching
- systems (e.g., Redis, Memcached) and message queues (e.g., RabbitMQ, Kafka)
- Good understanding of databases, e.g. Postgres, Elasticsearch, Clickhouse
- Basic scripting
- Working knowledge of OAuth 2.0, OpenID/OpenID-Connect, SAML 2.0, Kerberos, LDAP
How we rate this
Senior Engineer - Site Reliability at G42 rates 29 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Get new AI jobs by email
One email a week with the new AI jobs, each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Software Engineering roles that involve little AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step